Publications

An accurate machine learning model to study the impact of realistic metal grain granularity on Nanosheet FETs

BigSeqKit: a parallel Big Data toolkit to process FASTA and FASTQ files at scale

A machine learning approach to model the impact of line edge roughness on gate-all-around nanowire FETs while reducing the carbon footprint

An accurate neural network model to study threshold voltage variability due to metal grain granularity in Nanosheet FETs

An Unsupervised Perplexity-Based Method for Boilerplate Removal

CiTIUS at the TREC 2022 Health Misinformation Track

A Multistage Retrieval System for Health-related Misinformation Detection

Social Minder: a tool for social media monitoring and its use for detecting COVID-19 misinformation

Real-Time Focused Extraction of Social Media Users

A Unified Framework to Improve the Interoperability between HPC and Big Data Languages and Programming Models

CiTIUS at the TREC 2021 Health Misinformation Track

Comparing Traditional and Neural Approaches for detecting Health-related Misinformation

Colaboración entre docentes de una universidad alemana y una española para el desarrollo de seminarios prácticos acerca de la credibilidad de la información

Reliability Prediction for Health-related Content: A Replicability Study

CiTIUS at the TREC 2020 Health Misinformation Track

eXtream: a System for Real-time Monitoring of Dynamic Web Sources

A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media

VeryFastTree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies

Ignis: an efficient and scalable multi-language Big Data framework

A Big Data Approach to Metagenomics for All-Food-Sequencing

Dataflow Execution of Hierarchically Tiled Arrays

Sparse Matrix Classification on Imbalanced Datasets using Convolutional Neural Networks

LinguaKit: a Big Data-based multilingual tool for linguistic analysis and information extraction

Towards a Big Data Multi-language Framework using Docker Containers

A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques

Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time

A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media

Perldoop2: a Big Data-oriented source-to-source Perl-Java compiler

PASTASpark: multiple sequence alignment meets Big Data

Sentiment Analysis on Multilingual Tweets using Big Data Technologies

SparkBWA: Speeding Up the Alignment of High-Throughput DNA Sequencing Data

Boosting Performance of a Statistical Machine Translation System Using Dynamic Parallelism

BigBWA: Approaching the Burrows-Wheeler Aligner to Big Data Technologies

Power and Energy Implications of the Number of Threads Used on the Intel Xeon Phi

Power and Energy Implications of the Number of Threads Used on the Intel Xeon Phi

3DyRM: a dynamic roofline model including memory latency information

Perldoop: Efficient Execution of Perl Scripts on Hadoop Clusters

Multiobjective Optimization Technique Based on Monitoring Information to Increase the Performance of Thread Migration on Multicores

Thread migration techniques based on dynamic Roofline models and latency information

Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data

Hierarchically Tiled Array as a High-Level Abstraction for Codelets

A hardware counter-based toolkit for the analysis of memory accesses in SMPs

Using an extended Roofline Model to understand data and thread affinities on NUMA systems

Study of data locality and thread affinity on multicore systems using the Roofline Model

Using sampled information: is it enough for the sparse matrix-vector product locality optimization?

Sparse matrix-vector multiplication on the Single-Chip Cloud Computer many-core processor

Extensión del modelo Roofline y herramientas para su uso

A Flexible and Dynamic Page Migration Infrastructure based on Hardware Counters

DyRM: A Dynamic Roofline Model Based on Runtime Information

Hardware Counters Based Analysis of Memory Accesses in SMPs

A Graphical Tool for Performance Analysis of Multicore Systems Based on the Roofline Model

Experiences with the Sparse Matrix-Vector Multiplication on a Many-core Processor

Optimization of Sparse Matrix-Vector Multiplication Using Reordering Techniques on GPUs

Analyzing the Execution of Sparse Matrix-Vector Product on the Finisterrae SMP-NUMA System

Herramientas para la monitorización de los accesos a memoria de códigos paralelos mediante contadores hardware

Study of Performance Issues on a SMP-NUMA System Using the Roofline Model

A Study of Memory Access Patterns in Irregular Parallel Codes Using Hardware Counter-Based Tools

Increasing the Locality of Iterative Methods and its Application to the Simulation of Semiconductor Devices

Lessons Learnt Porting Parallelisation Techniques for Irregular Codes to NUMA Systems

On the Influence of Thread Allocation for Irregular Codes in NUMA Systems

Increasing data reuse of sparse algebra codes on simultaneous multithreading architectures

Evaluating Sparse Matrix-Vector Product on the FinisTerrae Supercomputer

A Collective I/O Implementation Based on Inspector-Executor Paradigm

Exploiting Data Compression in Collective I/O Techniques

Reordering Algorithms for Increasing Locality on Multicore Processors

Data Locality Aware Strategy for Two-Phase Collective I/O

Técnicas de Optimización de la Localidad para Códigos Irregulares sobre Arquitecturas Multiprocesador y Multithreading